1. Challenges & Opportunities
SDMX Implementation
Challenges & Opportunities

2. Agilis in SDMX In the statistics industry since 1998
Working with GESMES before SDMX
In SDMX software and consulting since 2005
International clientele
SDMX expertise to private and public sector

3. Current Business Overview
Developing OSS and bespoke software ✓
Providing statistical and IT services
Working in integration efforts with software in the banking sector

4. Case Study FAME & SDMX FAME time series database
Commercial
Well established
Eurostat's SDMX-RI software components
Open Source
Widely installed and used

5. Case Study – Problem statement
An SDMX enabled architecture:
Create a metadata driven data portal
Expose data using SDMX
Integrate production environment with dissemination and collection

6. Challenges & Success Factors
Proprietary solutions in organisations providing statistics
Metadata in place but not driving statistical processes
SDMX only used in the surface
Increase interoperability
Invest on existing infrastructure (do not render them obsolete)
Take advantage of existing metadata

7. 1 2 3 Lessons Learnt SDMX is not easy to grasp only by documentation
SDMX is not yet used to its full potential 1
SDMX is not easy to grasp only by documentation
Tools and guidance can quickly get you up to speed 2
OSS software can become help to learn SDMX and integrate with existing systems 3

8. Thank you!
Stratos Nikoloutsos